Run and deploy your AI Studio app

This contains everything you need to run your app locally.

Run Locally

Prerequisites: Node.js

Install dependencies: npm install
Copy .env.example to .env.local and set:
- GEMINI_API_KEY – your Gemini API key (required for content generation)
- VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY – optional; when set, uploaded videos and thumbnails are stored in Supabase Storage
Supabase (optional): To store videos and thumbnails in Supabase, follow docs/SETUP_SUPABASE.md (install, create videos and thumbnails buckets, set VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY in .env).
Run the app: npm run dev

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
components		components
constants		constants
context		context
docs		docs
lib		lib
services		services
supabase		supabase
.gitignore		.gitignore
App.tsx		App.tsx
README.md		README.md
index.html		index.html
index.tsx		index.tsx
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
types.ts		types.ts
vercel.json		vercel.json
vite.config.ts		vite.config.ts